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Data, AI & Product Engineering | Algoscale
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Scalable, agile, and cost-effecve

Product Engineering

 

Since 2014, Algoscale has been providing top-class  product engineering services for startups and fortune 100 companies in different industries. Use our unique expertise to build a custom digital product to tackle various business challenges, elevate operations, and enable growth.

The Process

Our 6+ years of experience in product engineering allowed us to fine-tune all steps of the development process. We employ lean startup approach and Scrum framework to build great digital products that add value to businesses and users,

Ideation

The initial stage of product development involves conceptualizing & documenting the ideas. Here, the idea which came into being as a byproduct of brainstorming is scrutinized as to whether it will be feasible in its approach and meet the requirements of the business. An idea might appear worth pursuing in the beginning, however might not be the case once it goes through the scrutiny of the experts.

Design

After conceptualizing the idea, this stage of product engineering focuses on the product design. Major decisions regarding the choice of the technologies, operating systems, interfaces, and more are made. Further alterations, if any required, are also made to the concept idea, before moving on to the next step, that is, development.

Development

Assembling the product is the next step in the process. This step centers around the required features of the product, the prototype development, user experience, among others through algorithmic approaches with cost optimization in mind as well.

Testing

Just like a physical product requires quality checks, a digital product also needs to go through valid quality checks. Quality being the driving force and the most desirable outcome of any product life cycle, this step plays a very important role in creating a satisfactory product ready for its release.

Deployment

Once the product is thoroughly tested and passes all the quality checks, it is ready to be deployed and, thus, released into the market. This stage calls for feedback, as it will enable further re-engineering processes which the product might as well need to go through. This is important for customer satisfaction, in the long run, bringing in loyalty from customers and converting them into repeat customers.

Our Team

Our product engineering team has all the expertise needed to build a solid digital solution for your business.

Technologies

Some of the technologies we work with

Let's create something amazing together!

Client Success

Our Case Studies

Data Warehouse For Marketing Agencies

An automated system for a client that could integrate data from multiple partners and generate weekly reports.

ML-based spend analytics solution for a healthcare supply chain platform

a machine learning-based solution for a Healthcare Supply Chain platform that included a Spend Analytics dashboard to help customers gain visibility into their spending and manage it effectively to cut expenses.

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